🦟 Malaria, Water Access & Mortality

Highest Malaria Incidence Rate (2022)

369.3 (per 1,000)
Benin

Average Malaria Incidence Rate (2022)

161.3 (per 1,000)
African Continent

Highest Malaria Mortality Rate (2022)

147.3 (per 100,000)
Burkina Faso

Over the past decade, the African continent has experienced a steady decline in the average malaria incidence rate (per 1,000). In 2012, the average incidence rate stood at 206.3, decreasing by 28% to 161.3 by 2022. This reduction may be attributed, at least in part, to increased investments in preventive measures, such as the widespread use of insecticide-treated nets and other malaria control interventions.

Mortality Rate in Burkina Faso by Administrative Region Over 10 Years (2012-2022)

In both 2012 and 2022, there are significant regional disparities in mortality rates across the country’s administrative regions. While there is a decline in general mortality, some regions continue to show persistent high rates. In 2012, Centre-East, Centre-Sud, and Boucle du Mouhoun had the highest rates in the country, exceeding 300 deaths per 100,000. In 2012, all three regions were still amongst the highest in the country. This calls for targeted interventions in order to futher reduce death rates.

Incidence Rate in Benin by Administrative Region Over 10 Years (2012-2022)

In terms of incidence across Benin’s 12 administrative regions, areas such as Alibori saw a notable 27% decrease, and in Donga cases dropped from 534 to 399 per 1,000. In regions like Collines and Plateau there were increases of 24% and 45%, respectively. Some regions, including Donga, Collines, and Borgou, continue with high rates of malaria.These areas are in need of focused efforts that include increased distribution of insecticide-treated nets (ITNs), better health-care services, and more effective environmental control measures that should help in brining down cases in then future.

Global Malaria Incidence & Mortality (2012-2022)
Metric	ISO3	Country	Admin Level	Year	Incidence Rate (per 1,000)	Mortality Rate (per 100,000)
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Water Access & Child Mortality(2012-2022)
Country	Year	Water Access (%)	ISO_Code	Child Mortality (Per 1,000)	Continent
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Burkina Faso Mortality Rate(2012-2022)
Metric	ISO3	Administrative Region	Admin Level	Year	Mortality Rate (per 100,000)
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Benin Incidence Rate (2012-2022)
Metric	ISO3	Administrative Region	Admin Level	Year	Incidence Rate (per 1,000)
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📊 Data Sources and Description

The data used to generate this report came from three primary data sources: Gapminder, Malaria Atlas Project, and Our World in Data. Each dataset is briefly described below, with details on the specific metrics used and links to their original sources.

🌍 1. Water Access Data — Sourced from Gapminder Source: WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene Timeframe: 2000–2022 Description: This dataset measures the percentage of the population using at least basic drinking water services. Collection Method: Data was compiled by the WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation, and Hygiene.

Key Metric:

Water Access (%): Proportion of the population with access to at least basic drinking water services.

More Information:Gapminder Official Website

👶 2. Child Mortality Data — Sourced from Our World in Data Source: Our World in Data Timeframe: Collected by the United Nations Inter-agency Group for Child Mortality Estimation (2024) Description: This dataset represents the estimated number of deaths of children under five years of age, per 100 live births. Collection Method: Data was primarily processed by Our World in Data based on estimates from the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME).

Key Metric:

Child Mortality (Per 1,000): Estimated number of deaths of children under five years per 1,000 live births. Title of Original Dataset:

The estimated number of deaths of children aged under five years, per 100 live births

More Information: UN IGME Official Website

🦟 3. Malaria Data — Sourced from Malaria Atlas Project Source: Malaria Atlas Project (MAP) Timeframe: Data covers 2012–2022 Description: This dataset focuses on malaria incidence, prevalence, and mortality rates caused by the Plasmodium falciparum parasite, the primary parasite responsible for malaria transmission.

Key Metrics Defined by MAP:

Infection Prevalence: “The proportion of children aged 2 to 10 years showing, in a given year, detectable Plasmodium falciparum parasites.”

Incidence Rate: “The number of newly diagnosed Plasmodium falciparum cases per 1,000 population, on a given year.”

Mortality Rate: “The number of deaths from Plasmodium falciparum per 100,000 population during a defined year.”

More Information: Malaria Atlas Project Official Website